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simulink使用详细介绍；smulink参数设置教程( )

wireless coverage calculation source code for matlab

说明：  用遗传算法计算旅行商问题，MATLAB程序代码，机器可直接运行。(Traveling salesman problem using genetic algorithm, MATLAB code, the machine can be directly run.)

实现了直线和矩形框的裁剪功能，是用编码裁剪原理实现的(Achieved a straight line and cut features a rectangular box is the use of coding theory to achieve cutting)

Steepestdecent算法程序，matlab实例程序，适合初学者学习(Steepestdecent algorithm procedures, examples of Matlab procedures for beginners learning)

基于最大似然法则的帧同步仿真程序，包括数据的产生，性能分析。(Law based on the maximum likelihood frame synchronization simulation program, including data generation, performance analysis.)

matlab+C language spea2

this program will help in blind estimation

超宽带无线通信信道MATLAB代码最全最新，值得信赖好的话就成功(Ultra Wideband Wireless Communication Channel MATLAB code for the latest most complete, trusted good, the success)

Learning_random.m : 随机选择样例，从（90）pool里随机选择样本，删除版本空间树的数量 activeLearning.m:根据最大熵原则,从pool里选择样本，删除版本空间树的数量 getlabel.m:根据树和测试样例，得到根据该树得到的类标 getTrees.m:从提供的大量树结构(随机生成的)中，随机挑选一定数量的树(如果该树的叶子节点无类标随机添加) RandomCreateTree_d_unbalance:根据样本点割点中的非平衡割点建造树， RandomCreateTree_d_all.m:根据所有样本点的割点建造树 randomdata.m：给定属性取值，造数据 randomselect.m:从数据中随机选择一部分作为 showTree.m:显示树的结构 test.m:给出树，测试样例，得到正确率(Learning_random.m: randomly selected sample, randomly selected sample from (90) pool the The deleted version space tree quantity activeLearning.m: selecting a sample from the pool based on the principle of maximum entropy, delete the number of version space tree getlabel.m: According to the tree and the test sample obtained according to the class standard getTrees.m the tree: from the tree structure (randomly generated), randomly selected a certain number of trees (the leaves of the tree node class marked randomly adding ) RandomCreateTree_d_unbalance: According to the sample point cut point unbalanced cut point construction tree, RandomCreateTree_d_all.m: construction of the tree randomdata.m all sample points cut point: given the value of the property, manufacturing data randomselect.m: random data Select as part showTree.m: tree structure test.m: tree, the test sample is given to get the correct rate)